Independent component analysis applied to multielectrode field potential measurements
Jarno M. A. Tanskanen, Jarno E. Mikkonen, Markku Penttonen · Nordic Signal Processing Symposium · 2004
Independent component analysis (ICA) is proposed for analysis of neural population (NP) activity from electrophysiological multielectrode field potential measurements (MFPMs). The proposed analysis method provides information on spatial locations of NPs, and time lags of NP activities. In some cases, analysis results may also be interpreted as independent operational modes of NPs. In this paper, the proposed analysis method is described. The proposed analysis is demonstrated with an exemplary analysis of an in vivo MFPM from the rat hippocampus. The proposed method can be applied in analysis of any recordings of neural networks in which contributions from a number of NPs are simultaneously recorded via a number of measurement points (MPs), as well in vivo as in vitro.